Age‐Related Structural and Vascular Changes in the Choroid Plexus: Insights from the HCP Dataset

Abstract Background The choroid plexus (ChP) plays a vital role in CSF production and waste clearance. While existing imaging studies have established connections between ChP volume changes and age‐related neurodegenerative diseases, a comprehensive investigation into the microstructural and vascular changes associated with aging remains insufficient. This study aims to explore ChP changes in normal aging using diffusion and perfusion MRI in the HCP‐Aging dataset to enhance our understanding of age‐related microstructural and vascular changes in the ChP. Method Our analysis included 641 healthy participants (age: 36‐90 years; mean±SD = 60±16 years; 282 males) with the following MRI parameters: (1) T1 MPRAGE for ChP segmentation[1]; (2) Diffusion MRI for quantification of mean diffusivity (MD); (3) PCASL MRI for quantification of cerebral blood flow (CBF) and arterial transit time (ATT). The ChP mask was co‐registered with MD, CBF, and ATT maps to extract corresponding values. Pearson's correlation and one‐way ANOVA were used for age effects and perfusion property comparisons among gray matter (GM), white matter (WM), and ChP, respectively. Result ChP imaging revealed increased volume, increased MD, and decreased CBF across different age groups (Figure 1). Figure 2 demonstrated a positive correlation between ChP volume and age (r = 0.31, p<0.0001), while ChP CBF declined with age (r = ‐0.41, p<0.0001) and MD positively correlated with age (r = 0.56, p<0.0001). Adjusting for age and sex, ChP CBF negatively correlated with volume (r = ‐0.26, p < 0.0001). One‐way ANOVA analyses indicated significant differences in CBF and ATT among ChP, GM, and WM (p<0.0001 for all comparisons), with ChP exihbiting the highest CBF and shortest ATT (Figure 3). Conclusion In addition to volume changes, we found significant age‐related diffusion and perfusion changes in the ChP in this large dataset. The decline in CBF and the increase in MD with aging suggest vascular degeneration and compensatory dystrophic hyperplasia of surrounding tissues of ChP. These findings in normal aging set a crucial normative reference for future studies on cognitive impairment in abnormal aging processes References: 1. Tadayon, E., et al. J Alzheimers Dis (2020).

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.093708
Primary Topic
Advanced Neuroimaging Techniques and Applications
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article

Age‐Related Structural and Vascular Changes in the Choroid Plexus: Insights from the HCP Dataset

Yulin Ge, Thomas Wısnıewskı, Chenyang Li, Zhe Sun
Alzheimer s & Dementia
Advanced Neuroimaging Techniques and Applications
article

Age‐Related Structural and Vascular Changes in the Choroid Plexus: Insights from the HCP Dataset

Yulin Ge, Thomas Wısnıewskı, Chenyang Li, Zhe Sun
article en

Abstract

Abstract Background The choroid plexus (ChP) plays a vital role in CSF production and waste clearance. While existing imaging studies have established connections between ChP volume changes and age‐related neurodegenerative diseases, a comprehensive investigation into the microstructural and vascular changes associated with aging remains insufficient. This study aims to explore ChP changes in normal aging using diffusion and perfusion MRI in the HCP‐Aging dataset to enhance our understanding of age‐related microstructural and vascular changes in the ChP. Method Our analysis included 641 healthy participants (age: 36‐90 years; mean±SD = 60±16 years; 282 males) with the following MRI parameters: (1) T1 MPRAGE for ChP segmentation[1]; (2) Diffusion MRI for quantification of mean diffusivity (MD); (3) PCASL MRI for quantification of cerebral blood flow (CBF) and arterial transit time (ATT). The ChP mask was co‐registered with MD, CBF, and ATT maps to extract corresponding values. Pearson's correlation and one‐way ANOVA were used for age effects and perfusion property comparisons among gray matter (GM), white matter (WM), and ChP, respectively. Result ChP imaging revealed increased volume, increased MD, and decreased CBF across different age groups (Figure 1). Figure 2 demonstrated a positive correlation between ChP volume and age (r = 0.31, p<0.0001), while ChP CBF declined with age (r = ‐0.41, p<0.0001) and MD positively correlated with age (r = 0.56, p<0.0001). Adjusting for age and sex, ChP CBF negatively correlated with volume (r = ‐0.26, p < 0.0001). One‐way ANOVA analyses indicated significant differences in CBF and ATT among ChP, GM, and WM (p<0.0001 for all comparisons), with ChP exihbiting the highest CBF and shortest ATT (Figure 3). Conclusion In addition to volume changes, we found significant age‐related diffusion and perfusion changes in the ChP in this large dataset. The decline in CBF and the increase in MD with aging suggest vascular degeneration and compensatory dystrophic hyperplasia of surrounding tissues of ChP. These findings in normal aging set a crucial normative reference for future studies on cognitive impairment in abnormal aging processes References: 1. Tadayon, E., et al. J Alzheimers Dis (2020).

Alzheimer s & DementiaVol. 20(S9)
NYU Langone Health (US), New York University (US)
Openalex Percentile: Top 58%
Advanced Neuroimaging Techniques and Applications
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